U19 World Cup
Standings
U19 World Cup basketball (U19 WC)
Standings for 2013-2014 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U19 USA | 100.0 | 9 | 9 | 0 | 863 | 507 | 95.9 | 56.3 | 39.6 | 99.9 |
2 | U19 Serbia | 77.8 | 9 | 7 | 2 | 625 | 529 | 69.4 | 58.8 | 10.6 | 91.0 |
3 | U19 Spain | 77.8 | 9 | 7 | 2 | 695 | 613 | 77.2 | 68.1 | 9.1 | 85.1 |
4 | U19 Lithuania | 77.8 | 9 | 7 | 2 | 722 | 664 | 80.2 | 73.8 | 6.4 | 76.2 |
5 | U19 Croatia | 55.6 | 9 | 5 | 4 | 728 | 696 | 80.9 | 77.3 | 3.6 | 65.1 |
6 | U19 Russia | 50.0 | 8 | 4 | 4 | 496 | 547 | 62.0 | 68.4 | -6.4 | 20.4 |
7 | U19 Australia | 44.4 | 9 | 4 | 5 | 673 | 657 | 74.8 | 73.0 | 1.8 | 58.3 |
8 | U19 Canada | 44.4 | 9 | 4 | 5 | 723 | 717 | 80.3 | 79.7 | 0.6 | 52.9 |
9 | U19 China | 44.4 | 9 | 4 | 5 | 666 | 741 | 74.0 | 82.3 | -8.3 | 18.5 |
10 | U19 Czech Republic | 40.0 | 5 | 2 | 3 | 353 | 358 | 70.6 | 71.6 | -1.0 | 45.1 |
11 | U19 Brazil | 37.5 | 8 | 3 | 5 | 514 | 557 | 64.3 | 69.6 | -5.3 | 24.6 |
12 | U19 Iran | 25.0 | 8 | 2 | 6 | 482 | 589 | 60.3 | 73.6 | -13.3 | 5.8 |
13 | U19 Korea | 20.0 | 5 | 1 | 4 | 409 | 486 | 81.8 | 97.2 | -15.4 | 8.3 |
14 | U19 Senegal | 20.0 | 5 | 1 | 4 | 290 | 374 | 58.0 | 74.8 | -16.8 | 2.8 |
15 | U19 Ivory Coast | 20.0 | 5 | 1 | 4 | 232 | 367 | 46.4 | 73.4 | -27.0 | 0.2 |
16 | U19 Argentina | 12.5 | 8 | 1 | 7 | 525 | 594 | 65.6 | 74.3 | -8.7 | 15.2 |
Standings glossary
Stats abbreviations
- Rk: rank
- % Victory: number of win / number of games played
- Gp: number of games played
- Gw: number of games won
- GL: number of games lost
- Pts+: total number of points scored by the team
- Pts-: total number of points scored by opposing teams
- Pts+ /g: total number of points scored by the team per game
- Pts- /g: total number of points scored by opposing teams per game
- Diff: difference between points scored and received per game
- Expected Winning %: through our basketball statistical database and the use of advanced stats, we are able to project a team’s win percentage which then allows us to project how many wins a team is expected to have. These projections are a unique way to understand whether a team has played better or worse than their record indicates.